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An Immune Response Network Associated with Blood Lipid Levels

While recent scans for genetic variation associated with human disease have been immensely successful in uncovering large numbers of loci, far fewer studies have focused on the underlying pathways of disease pathogenesis. Many loci which are associated with disease and complex phenotypes map to non-...

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Autores principales: Inouye, Michael, Silander, Kaisa, Hamalainen, Eija, Salomaa, Veikko, Harald, Kennet, Jousilahti, Pekka, Männistö, Satu, Eriksson, Johan G., Saarela, Janna, Ripatti, Samuli, Perola, Markus, van Ommen, Gert-Jan B., Taskinen, Marja-Riitta, Palotie, Aarno, Dermitzakis, Emmanouil T., Peltonen, Leena
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936545/
https://www.ncbi.nlm.nih.gov/pubmed/20844574
http://dx.doi.org/10.1371/journal.pgen.1001113
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author Inouye, Michael
Silander, Kaisa
Hamalainen, Eija
Salomaa, Veikko
Harald, Kennet
Jousilahti, Pekka
Männistö, Satu
Eriksson, Johan G.
Saarela, Janna
Ripatti, Samuli
Perola, Markus
van Ommen, Gert-Jan B.
Taskinen, Marja-Riitta
Palotie, Aarno
Dermitzakis, Emmanouil T.
Peltonen, Leena
author_facet Inouye, Michael
Silander, Kaisa
Hamalainen, Eija
Salomaa, Veikko
Harald, Kennet
Jousilahti, Pekka
Männistö, Satu
Eriksson, Johan G.
Saarela, Janna
Ripatti, Samuli
Perola, Markus
van Ommen, Gert-Jan B.
Taskinen, Marja-Riitta
Palotie, Aarno
Dermitzakis, Emmanouil T.
Peltonen, Leena
author_sort Inouye, Michael
collection PubMed
description While recent scans for genetic variation associated with human disease have been immensely successful in uncovering large numbers of loci, far fewer studies have focused on the underlying pathways of disease pathogenesis. Many loci which are associated with disease and complex phenotypes map to non-coding, regulatory regions of the genome, indicating that modulation of gene transcription plays a key role. Thus, this study generated genome-wide profiles of both genetic and transcriptional variation from the total blood extracts of over 500 randomly-selected, unrelated individuals. Using measurements of blood lipids, key players in the progression of atherosclerosis, three levels of biological information are integrated in order to investigate the interactions between circulating leukocytes and proximal lipid compounds. Pair-wise correlations between gene expression and lipid concentration indicate a prominent role for basophil granulocytes and mast cells, cell types central to powerful allergic and inflammatory responses. Network analysis of gene co-expression showed that the top associations function as part of a single, previously unknown gene module, the Lipid Leukocyte (LL) module. This module replicated in T cells from an independent cohort while also displaying potential tissue specificity. Further, genetic variation driving LL module expression included the single nucleotide polymorphism (SNP) most strongly associated with serum immunoglobulin E (IgE) levels, a key antibody in allergy. Structural Equation Modeling (SEM) indicated that LL module is at least partially reactive to blood lipid levels. Taken together, this study uncovers a gene network linking blood lipids and circulating cell types and offers insight into the hypothesis that the inflammatory response plays a prominent role in metabolism and the potential control of atherogenesis.
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spelling pubmed-29365452010-09-15 An Immune Response Network Associated with Blood Lipid Levels Inouye, Michael Silander, Kaisa Hamalainen, Eija Salomaa, Veikko Harald, Kennet Jousilahti, Pekka Männistö, Satu Eriksson, Johan G. Saarela, Janna Ripatti, Samuli Perola, Markus van Ommen, Gert-Jan B. Taskinen, Marja-Riitta Palotie, Aarno Dermitzakis, Emmanouil T. Peltonen, Leena PLoS Genet Research Article While recent scans for genetic variation associated with human disease have been immensely successful in uncovering large numbers of loci, far fewer studies have focused on the underlying pathways of disease pathogenesis. Many loci which are associated with disease and complex phenotypes map to non-coding, regulatory regions of the genome, indicating that modulation of gene transcription plays a key role. Thus, this study generated genome-wide profiles of both genetic and transcriptional variation from the total blood extracts of over 500 randomly-selected, unrelated individuals. Using measurements of blood lipids, key players in the progression of atherosclerosis, three levels of biological information are integrated in order to investigate the interactions between circulating leukocytes and proximal lipid compounds. Pair-wise correlations between gene expression and lipid concentration indicate a prominent role for basophil granulocytes and mast cells, cell types central to powerful allergic and inflammatory responses. Network analysis of gene co-expression showed that the top associations function as part of a single, previously unknown gene module, the Lipid Leukocyte (LL) module. This module replicated in T cells from an independent cohort while also displaying potential tissue specificity. Further, genetic variation driving LL module expression included the single nucleotide polymorphism (SNP) most strongly associated with serum immunoglobulin E (IgE) levels, a key antibody in allergy. Structural Equation Modeling (SEM) indicated that LL module is at least partially reactive to blood lipid levels. Taken together, this study uncovers a gene network linking blood lipids and circulating cell types and offers insight into the hypothesis that the inflammatory response plays a prominent role in metabolism and the potential control of atherogenesis. Public Library of Science 2010-09-09 /pmc/articles/PMC2936545/ /pubmed/20844574 http://dx.doi.org/10.1371/journal.pgen.1001113 Text en Inouye et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Inouye, Michael
Silander, Kaisa
Hamalainen, Eija
Salomaa, Veikko
Harald, Kennet
Jousilahti, Pekka
Männistö, Satu
Eriksson, Johan G.
Saarela, Janna
Ripatti, Samuli
Perola, Markus
van Ommen, Gert-Jan B.
Taskinen, Marja-Riitta
Palotie, Aarno
Dermitzakis, Emmanouil T.
Peltonen, Leena
An Immune Response Network Associated with Blood Lipid Levels
title An Immune Response Network Associated with Blood Lipid Levels
title_full An Immune Response Network Associated with Blood Lipid Levels
title_fullStr An Immune Response Network Associated with Blood Lipid Levels
title_full_unstemmed An Immune Response Network Associated with Blood Lipid Levels
title_short An Immune Response Network Associated with Blood Lipid Levels
title_sort immune response network associated with blood lipid levels
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936545/
https://www.ncbi.nlm.nih.gov/pubmed/20844574
http://dx.doi.org/10.1371/journal.pgen.1001113
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